Peggy Chi

Peggy Chi is a Staff Research Scientist at Google DeepMind and a Visiting Associate Professor at National Taiwan University's Department of Computer Science and Information Engineering. She holds a Ph.D. in Computer Science from UC Berkeley and an M.S. from MIT Media Lab. Her research focuses on interactive systems, accessibility technologies, and AI-driven interfaces to enhance creativity and user experience in areas like video creation, non-visual access for visually impaired users, and cross-device interaction.

Key research interests include Human-Computer Interaction (HCI), accessibility, and the application of AI in user-facing technologies. She has pioneered projects such as TacNote (tactile/audio note-taking for BVI users), Slide Gestalt (non-visual slide structure extraction), and Bespoke (LLM-based interface generation). Her work bridges theory and practice, with contributions to top venues like ACM CHI, UIST, and CVPR.

• Received a Best Paper Award at ACM CHI and a Google PhD Fellowship.
• Published over 20+ papers in HCI and AI, focusing on accessibility, video technology, and cross-device systems.

Her research also extends to educational tools (e.g., MixT for mixed-media tutorials) and ubicomp systems for health and daily life, such as calorie-aware smart kitchens. Peggy collaborates with industry and academia to advance interactive technologies that empower users through innovation and inclusivity.